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bw58
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bw58_billsum_model

Text2Text Generation
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
Inference Endpoints
text-generation-inference
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bw58 commited on
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End of training

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  1. README.md +12 -12
  2. runs/Mar04_05-49-08_452fc9328a02/events.out.tfevents.1709531349.452fc9328a02.1871.0 +3 -0
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: nan
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- - Rouge1: 0.0776
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- - Rouge2: 0.0197
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- - Rougel: 0.0639
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- - Rougelsum: 0.0638
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- - Gen Len: 12.879
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  ## Model description
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@@ -41,9 +41,9 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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- - train_batch_size: 1
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- - eval_batch_size: 1
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
@@ -54,10 +54,10 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | 0.0 | 1.0 | 989 | nan | 0.0776 | 0.0197 | 0.0639 | 0.0638 | 12.879 |
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- | 0.0 | 2.0 | 1978 | nan | 0.0776 | 0.0197 | 0.0639 | 0.0638 | 12.879 |
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- | 0.0 | 3.0 | 2967 | nan | 0.0776 | 0.0197 | 0.0639 | 0.0638 | 12.879 |
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- | 0.0 | 4.0 | 3956 | nan | 0.0776 | 0.0197 | 0.0639 | 0.0638 | 12.879 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: nan
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+ - Rouge1: 0.0827
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+ - Rouge2: 0.0227
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+ - Rougel: 0.0695
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+ - Rougelsum: 0.0694
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+ - Gen Len: 13.7944
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.002
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+ - train_batch_size: 15
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+ - eval_batch_size: 15
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 66 | nan | 0.0827 | 0.0227 | 0.0695 | 0.0694 | 13.7944 |
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+ | No log | 2.0 | 132 | nan | 0.0827 | 0.0227 | 0.0695 | 0.0694 | 13.7944 |
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+ | No log | 3.0 | 198 | nan | 0.0827 | 0.0227 | 0.0695 | 0.0694 | 13.7944 |
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+ | No log | 4.0 | 264 | nan | 0.0827 | 0.0227 | 0.0695 | 0.0694 | 13.7944 |
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  ### Framework versions
runs/Mar04_05-49-08_452fc9328a02/events.out.tfevents.1709531349.452fc9328a02.1871.0 ADDED
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